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Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays
Published on: October 23, 2019
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HKPocket: human kinase pocket database for drug design
Huiwen Wang1, Jiadi Qiu1, Haoquan Liu1
1Department of Physics, Central China Normal University, Wuhan, 430079, China.
BMC Bioinformatics
|December 1, 2019
Summary
A new Human Kinase Pocket (HKPocket) database offers crucial structural insights for kinase drug discovery. This resource aids in preliminary drug screening and optimization, potentially leading to fewer side effects.
Area of Science:
- Biochemistry
- Pharmacology
- Structural Biology
Background:
- Kinase pocket structural information is vital for developing targeted cancer therapies and other drugs.
- Existing databases lack direct applicability for kinase drug discovery studies.
- A comprehensive human kinase protein pocket database is essential.
Purpose of the Study:
- To develop a comprehensive database of human kinase protein pockets.
- To facilitate drug discovery and development by providing detailed pocket information.
Main Methods:
- Development of the Human Kinase Pocket (HKPocket) database.
- Inclusion of sequence, structure, hydrophilic-hydrophobic, interaction, and druggability data for 1717 pockets from 255 kinases.
- Clustering of pockets based on structural and positional features.
Main Results:
- The HKPocket database contains comprehensive data for 1717 kinase pockets.
- Pockets were categorized into 91 clusters, aiding in preliminary drug screening.
- Analysis of sequence conservation, interactions, and hydrophobicity supports drug selection and optimization.
Conclusions:
- The HKPocket database is a valuable tool for kinase drug screening and optimization.
- Targeting non-catalytic pockets may reduce drug side effects.
- The HKPocket database is publicly accessible online.
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